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National survey on data governance and digital surgery: Challenges and opportunities for surgeons in the era of artificial intelligence.
Cir Esp (Engl Ed)
January 2025
Servicio de Cirugía General y Aparato Digestivo, Hospital Universitario Puerta de Hierro-Majadahonda, Majadahonda, Madrid, Spain.
Introduction: This study evaluates the knowledge of Spanish surgeons regarding data governance and Digital Surgery, their usage, errors, and training deficiencies, as well as differences in knowledge between those who perform robotic surgery and those who do not.
Methods: A descriptive study was conducted using a closed survey promoted by the Minimally Invasive Surgery and Technological Innovation Section of the Spanish Association of Surgeons, directed at its members between February and March 2024.
Results: Out of 1,086 surgeons contacted, 396 responded (36.
It's about time: moving away from statistical analysis of ecotoxicity data.
Integr Environ Assess Manag
January 2025
DEBtox Research, Stevensweert, The Netherlands.
Environmental risk assessment of chemicals (ERA) relies on single-species laboratory testing to establish the toxic properties of a compound. However, ERA is not concerned with toxicity under laboratory conditions: it needs to assess the impacts of the compound in the real world. Data-driven statistical analyses (e.
View Article and Find Full Text PDFNovel application of sinh cosh optimizer for robust controller design in hybrid photovoltaic-thermal power systems.
Sci Rep
January 2025
ENET Centre, CEET, VSB-Technical University of Ostrava, 708 00, Ostrava, Czech Republic.
Load frequency control (LFC) is critical for maintaining stability in interconnected power systems, addressing frequency deviations and tie-line power fluctuations due to system disturbances. Existing methods often face challenges, including limited robustness, poor adaptability to dynamic conditions, and early convergence in optimization. This paper introduces a novel application of the sinh cosh optimizer (SCHO) to design proportional-integral (PI) controllers for a hybrid photovoltaic (PV) and thermal generator-based two-area power system.
View Article and Find Full Text PDFValidating the accuracy of mathematical model-based pharmacogenomics dose prediction with real-world data.
Eur J Clin Pharmacol
January 2025
Electrical and Computer Engineering Department, School of Engineering, Lebanese American University, P.O. Box: 36, Byblos, F-19, Lebanon.
Objective: The study aims to verify the usage of mathematical modeling in predicting patients' medication doses in association with their genotypes versus real-world data.
Methods: The work relied on collecting, extracting, and using real-world data on dosing and patients' genotypes. Drug metabolizing enzymes, i.
Energy feature extraction and visualization of voltage sags using wavelet packet analysis for enhanced power quality monitoring.
Sci Rep
January 2025
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
Power quality (PQ) disturbances, such as voltage sags, are significant issues that can lead to damage in electrical equipment and system downtime. Detecting and classifying these disturbances accurately is essential for maintaining reliable power systems. This paper introduces a novel approach to voltage sag analysis by employing wavelet packet analysis combined with energy-based feature extraction to enhance PQ monitoring.
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